In this interactive session, Sujay Somasekhar, Principal Data Engineer at McKinsey & Company, will share real-world insights from delivering enterprise AI, data engineering, and automation solutions. We’ll explore how Azure, Power Platform, and Databricks are used in industry, the skills that matter most, and how to bridge the gap between technical expertise and business value—through stories, examples, and audience Q&A.

Presenter: Narayan Sujay Somasekhar is a Principal in Global Banking at McKinsey & Company, where he leads the design and implementation of advanced data engineering, data science, and generative AI solutions. With over 17 years of experience, Sujay has built and scaled cloud-based data platforms using technologies such as Snowflake, Azure Synapse, Databricks, and AWS Redshift.

His background spans consulting, financial services, tax technology, and utilities, with leadership roles at Deloitte, EY, and DHG. Sujay is recognized for his ability to build high-performing cross-functional teams and deliver enterprise-scale data strategies, including NLP applications and predictive analytics. He holds a master’s degree in Computer Science from Bowling Green State University and a Data Science Specialization from Johns Hopkins University. Sujay is also certified across major cloud platforms and is a frequent contributor to the data and AI community.

Company: McKinsey & Company is a global management consulting firm that helps businesses, governments, and organizations solve complex problems and improve performance. Founded in 1926, the firm advises clients across a wide range of industries on strategy, operations, technology, and organizational transformation. McKinsey combines deep industry expertise with advanced analytics and digital capabilities to drive innovation and long-term growth. Its consultants work closely with clients to deliver data-driven insights and implement impactful solutions.